In Plano, Texas, JPMorgan Chase's Commercial and Investment Banking Electronic Trading Technology group builds latency-sensitive, real-time services that power sophisticated electronic trading. The Lead Software Engineer - DevOps will own production reliability and guide AI-assisted engineering practices across the software lifecycle to improve quality and delivery speed. The role offers a compensation range of USD 152,000 to 215,000 per year.
Responsibilities
- Coordinate releases across UAT and production environments with readiness checks, clear change documentation, stakeholder communication, and reliable rollback plans.
- Own production reliability and latency for algorithmic and execution services, including post-trading hours releases and market-hours support posture.
- Drive the team's adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of effective patterns.
- Apply knowledge of the SDLC toolchain and AI-assisted development and automation capabilities to maximize automation value.
- Design and troubleshoot inventive software solutions, tackling problems beyond routine approaches to break down technical problems.
- Manage UAT environment provisioning and configuration for on-prem hosts, supporting uptime, deployments, environment triage, and release readiness in coordination with partner teams.
- Build and enhance CI/CD and release engineering for Java services with automated builds, artifact/versioning discipline, environment promotion, gated releases, and fast rollback.
- Collaborate with infrastructure and networking teams on Linux and network performance considerations affecting latency, jitter, and stability.
- Drive incident management excellence through rapid triage, root-cause analysis, and permanent remediation to reduce recurrence and MTTR.
- Engineer for resiliency with high availability and disaster recovery design, failover testing, dependency isolation, and capacity planning.
- Identify opportunities to automate remediation of recurring issues to improve operational stability and lead communities of practice to spread awareness of new technologies.
- Contribute to a team culture that values diversity, opportunity, inclusion, and mutual respect.
Requirements
- Formal training or certification in software engineering and five or more years of applied experience.
- Hands-on experience delivering system design, application development, testing, and operational stability.
- Advanced development experience in Python, Java, or equivalent languages.
- Proven track record leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, with coaching experience for safe adoption.
- Proficient across the Software Development Life Cycle.
- Familiar with AI-assisted development tools within the lifecycle and able to critically evaluate AI outputs.
- Advanced understanding of agile practices, including CI/CD, application resiliency, and security.
- Proven expertise in software applications and technical processes within a discipline such as cloud, AI/ML, or mobility.
- Demonstrated proficiency in observability (metrics, logs, traces), alert design, and SLO-driven reliability practices.
- Deep knowledge of the financial services industry and its IT systems.
- Strong troubleshooting across application, operating system, and network layers, with comfort in incident response and postmortems.
Technologies
Technologies: Python, Java, Linux
Benefits
- Base salary
- Commission-based pay and/or discretionary incentive compensation
- Cash and/or forfeitable equity
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
Preferred qualifications, capabilities, and skills
- Practical cloud-native experience
- Experience with high-throughput and/or low-latency systems
- Proven track record with observability, alert design, and SLO-driven reliability practices
- Experience designing for non-functional requirements such as resiliency, scalability, and supportability, and translating those into implementation
About Us
JPMorgan Chase is a long-standing financial institution delivering innovative financial solutions to millions of consumers, small businesses, and many of the world’s leading corporate, institutional, and government clients under the J.P. Morgan and Chase brands. With a history spanning more than two centuries, the company is a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.
About the Team
J.P. Morgan's Commercial & Investment Bank operates as a global leader across banking, markets, securities services, and payments. Corporations, governments, and institutions worldwide rely on us for strategic advice, capital raising, risk management, and liquidity across more than 100 countries.
